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Machine Learning with R, tidyverse, and mlr teaches readers how to gain valuable insights from their data using the powerful R programming;
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Solve real-world data problems with R and machine learning Key Features Third edition of the bestselling, widely acclaimed R machine;
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shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with;
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Master machine learning techniques with R to deliver insights in complex projects About This Book * Understand and apply machine;
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Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems;
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book is for you. Some experience with R and a working knowledge of basic statistical or machine learning will prove helpful. What You Will;
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If you want to learn how to use R for machine learning and gain insights from your data, then this book is ideal for you. Regardless;
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Big Data with R Server and SQL R Services. See full details at: microsoft.comlearning;
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guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you'll first start to learn with;
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Based on the author's experience in teaching data science for more than 10 years, Mathematics and Programming for Machine Learning with R;
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Based on the author's experience in teaching data science for more than 10 years, Mathematics and Programming for Machine Learning with R;
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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference;
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Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference;
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Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to;
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successful OBIEE implementation. Oracle Business Intelligence with Machine Learning covers various technologies including using Oracle OBIEE, R;
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Guides professionals and students through the rapidly growing field of machine learning with hands-on examples in the popular R programming;
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Ensemble Learning with R begins with the important statistical resampling methods. You will then walk through the central trilogy of ensemble;
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Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today's most popular;
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Includes implementation of machine learning models in R Help the analysts and developers to work efficiently with emerging technologies such as;
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Learning Services with R Manage SQL Server Machine Learning Services from installation to configuration and maintenance Handle and operationalize R;
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Vector Machines (SVM), Multi-layer Feed-forward Artificial Neural Networks (MFANN) and Multiple Linear Regression (MLR) on different data sets;
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learning techniques and R, you can easily develop these kinds of applications in an efficient way. Practical Machine Learning with R begins by;
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Behavior Analysis with Machine Learning Using R introduces machine learning and deep learning concepts and algorithms applied to a diverse;
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working examples using a wide range of machine learning libraries and tools, including Python, R, Julia, and Spark * Comprehensive practical;
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